Xiaowei Zhao
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Global and Planetary Change
- Ecology
- Co-authors
- Feiping NieXuelong LiRong WangHaoxiang XiaZhihui LiJ. Evan WardBridget A. HolohanRandall E. Hicks
- Topics
- Face and Expression Recognition (20 papers)Evolutionary Game Theory and Cooperation (9 papers)Video Surveillance and Tracking Methods (7 papers)
In The Last Decade
Xiaowei Zhao
50 papers receiving 600 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 136
- Artificial Intelligence 122
- Sociology and Political Science 91
- Global and Planetary Change 79
- Ecology 64
Countries citing papers authored by Xiaowei Zhao
This map shows the geographic impact of Xiaowei Zhao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaowei Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Zhao more than expected).
Fields of papers citing papers by Xiaowei Zhao
This network shows the impact of papers produced by Xiaowei Zhao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaowei Zhao. The network helps show where Xiaowei Zhao may publish in the future.
Co-authorship network of co-authors of Xiaowei Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Zhao. A scholar is included among the top collaborators of Xiaowei Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Zhao. Xiaowei Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 57 | |
| 15 | 43 | |
| 16 | 17 | |
| 17 | Application of high-throughput sequencing for analyzing bacterial communities in earthen ponds of sea cucumber aquaculture in northern China. | 1 |
| 18 | Interactions between two species of marine bloom microalgae under controlled laboratory conditions: Heterosigma akashiwo and Karenia mikimotoi. | 2 |
| 19 | Analysis on Farming Risk and Regional Difference in China | 1 |
| 20 | Prediction of Melting Points of Organic Compounds Using Artificial Neural Network Trained with the Combination of Genetic Algorithm and Gradient Method | 2 |
About Xiaowei Zhao
Xiaowei Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 59 papers that have together received 617 indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Evolutionary Game Theory and Cooperation (9 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Aquatic Science (39 citations) and Safety Research (44 citations). Xiaowei Zhao has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Feiping Nie, Xuelong Li, Rong Wang, Haoxiang Xia, Zhihui Li, J. Evan Ward, Bridget A. Holohan, Randall E. Hicks, Melissa L. Pierce and Bing Li. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Molecular Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.